کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
385768 660872 2011 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
GSM churn management by using fuzzy c-means clustering and adaptive neuro fuzzy inference system
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
GSM churn management by using fuzzy c-means clustering and adaptive neuro fuzzy inference system
چکیده انگلیسی

Churn management is important and critical issue for Global Services of Mobile Communications (GSM) operators to develop strategies and tactics to prevent its subscribers to pass other GSM operators. First phase of churn management starts with profile creation for the subscribers. Profiling process evaluates call detail data, financial information, calls to customer service, contract details, market details and geographic and population data of a given state. In this study, input features are clustered by x-means and fuzzy c-means clustering algorithms to put the subscribers into different discrete classes. Adaptive Neuro Fuzzy Inference System (ANFIS) is executed to develop a sensitive prediction model for churn management by using these classes. First prediction step starts with parallel Neuro fuzzy classifiers. After then, FIS takes Neuro fuzzy classifiers’ outputs as input to make a decision about churners’ activities.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 38, Issue 3, March 2011, Pages 1814–1822
نویسندگان
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